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Tong Li     Research Assistant Professor Department of Electronic Engineering Tsinghua University Office: Rohm Building 11-311 Phone: (+86) 15073197902 Email: tongli AT mail.tsinghua.edu.cn Google Scholar       ResearchGate

About Me

I am a Research Assistant Professor in the Department of Electronic Engineering at Tsinghua University, where I am affiliated with the Future Intelligence Laboratory (FIB-Lab). I got dual PhDs in computer science from the University of Helsinki in 2022 and in computer science and engineering from the Hong Kong University of Science and Technology in 2021, and received the B.S. degree and M.S. degree in communication engineering from Hunan University, China, in 2014 and 2017, respectively.

My research interests include wireless network digital twins, network simulation and optimization, and urban computing.

News

• Sept. 11, 2023. Our paper "Empowering Spatial Knowledge Graph for Mobile Traffic Prediction" was accepted by ACM SIGSPATIAL 2023.
• Aug. 6, 2023. Our paper "Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands" was accepted by ACM CIKM 2023.
• July. 25, 2023. Our Research Briefing paper "Artificial intelligence for reducing the carbon emissions of 5G networks in China" was accepted by Nature Sustainability.
• July. 25, 2023. Our paper "A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities" was accepted by Nature Scientific Data.
• July. 21, 2023. Our paper "Demand Driven Urban Facility Visit Prediction" was accepted by ACM TIST.
• Jun. 12, 2023. Our paper "Carbon emissions of 5G mobile networks in China" was accepted by Nature Sustainability.
• May. 17, 2023. Our paper "Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph" was accepted by ACM KDD 2023.
• May. 17, 2023. Our paper "Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns" was accepted by ACM KDD 2023.
• May. 17, 2023. Our paper "Practical Synthetic Human Trajectories Generation Based on Variational Point Processes" was accepted by ACM KDD 2023.
• May. 18, 2023. Our paper "You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior" was accepted by ACM TIST.
• May. 9, 2023. Our paper "Scalable Digital Twin System for Mobile Networks with Generative AI" was accepted by ACM MobiSys 2023.
• Mar. 10, 2023. Our paper "Learning Representations of Satellite Imagery by Leveraging Point-of-Interests" was accepted by ACM TIST.
• We are organizing DTMS 2023-International Workshop on Digital Twin-Empowered Mobile Networks, Systems and Applications, colocated with MobiSys 2023.
• Mar. 10, 2023. Our paper "Learning Representations of Satellite Imagery by Leveraging Point-of-Interests" was accepted by ACM TIST.
• Jan. 25, 2023. Our paper "FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection" was accepted by ACM WWW 2023.
• Nov. 3, 2022. Our paper "DMGAN: Dynamic Multi-Hop Graph Attention Network for Traffic Forecasting" was accepted by IEEE TKDE.
• Aug. 2, 2022. Our paper "Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery" was accepted by ACM CIKM 2022.
• July. 20, 2022. Our paper "CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events" was accepted by IEEE TKDE.
• Mar. 18, 2022. Our paper "Smartphone App Usage Analysis: Datasets, Methods, and Applications" was accepted by IEEE Communications Surveys and Tutorials.
• Mar. 7, 2022. Our paper "Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks" was accepted by IEEE ICC 2022 Workshop on Intelligent and Cloud-based RAN.
• Feb. 9, 2022. Our paper "Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests" was accepted by TheWebConf 2022.

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Honors and Awards

• 2020 Chinese Government Award for Outstanding Self-financed Students Abroad.
• 2020 Nokia Scholarship.
• 2016 National Scholarship for Graduate Students.

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Publications

2023

• Empowering Spatial Knowledge Graph for Mobile Traffic Prediction.
  Jiahui Gong, Yu Liu, Tong Li*, Haoye Chai, Xing Wang, Junlan Feng, Chao Deng, Depeng Jin, Yong Li.
  In Proceedings of the 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023.
• Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands.
  Wenzhen Huang, Tong Li*, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li.
  In Proceedings of the 32nd ACM International Conference on Information & Knowledge Management (CIKM), 2023.
• Artificial intelligence for reducing the carbon emissions of 5G networks in China.
  Tong Li, Yong Li.
  Nature Sustainability, 2023.
• A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities.
  Yanxin Xi, Yu Liu, Tong Li, Jingtao Ding, Yunke Zhang, Sasu Tarkoma, Yong Li, Pan Hui.
  Nature Scientific Data, 2023.
• Demand Driven Urban Facility Visit Prediction.
  Yunke Zhang, Tong Li, Yuan Yuan, Fengli Xu, Fan Yang, Fulin Sun, Yong Li.
  ACM Transactions on Intelligent Systems and Technology, 2023.
• Carbon emissions of 5G mobile networks in China.
  Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li*, and Tao Jiang*.
  Nature Sustainability, 2023.
• Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph.
  Shiyuan Zhang, Tong Li*, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, and Yong Li.
  In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
• Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns.
  Shuodi Hui, Huandong Wang, Tong Li*, Xinghao Yang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, and Yong Li.
  In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
• Practical Synthetic Human Trajectories Generation Based on Variational Point Processes.
  Qingyue Long, Huandong Wang, Tong Li, Lisi Huang, Kun Wang, Qiong Wu, Guangyu Li, Yanping Liang, Li Yu, and Yong Li.
  In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
• You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior.
  Tong Li, Yong Li, Sasu Tarkoma, and Pan Hui.
  ACM Transactions on Intelligent Systems and Technology, 2023.
• Scalable Digital Twin System for Mobile Networks with Generative AI.
  Jiahui Gong, Qiaohong Yu, Tong Li*, Haoqiang Liu, Jun Zhang, Hangyu Fan, Depeng Jin, and Yong Li.
  In Proceedings of the 21st ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2023.
• Learning Representations of Satellite Imagery by Leveraging Point-of-Interests.
  Tong Li, Yanxin Xi, Huandong Wang, Yong Li, Sasu Tarkoma, and Pan Hui.
  ACM Transactions on Intelligent Systems and Technology, 2023.
• FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection.
  Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, and Pengyuan Zhou.
  In Proceedings of The ACM Web Conference (WWW), 2023.

2022

• DMGAN: Dynamic Multi-Hop Graph Attention Network for Traffic Forecasting.
  Rui Li, Fan Zhang, Tong Li, Ning Zhang, and Tingting Zhang.
  IEEE Transactions on Knowledge and Data Engineering, 2022.
• Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery.
  Tong Li, Shiduo Xin, Yanxin Xi, Sasu Tarkoma, Pan Hui, and Yong Li.
  In Proceedings of ACM Conference on Information and Knowledge Management (CIKM), 2022.
• CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events.
  Mingyang Zhang, Tong Li*, and Pan Hui.
  IEEE Transactions on Knowledge and Data Engineering, 2022.
• Smartphone App Usage Analysis: Datasets, Methods, and Applications.
  Tong Li, Tong Xia, Huandong Wang, Zhen Tu, Sasu Tarkoma, Zhu Han, and Pan Hui.
  IEEE Communications Surveys and Tutorials, 2022.
• Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks.
  Qiaohong Yu, Huandong Wang, Tong Li, Depeng Jin, Xing Wang, Lin Zhu, Junlan Feng, and Chao Deng.
  In Proceedings of IEEE International Conference on Communications Workshops (ICC Workshops), 2022.
• Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests.
  Yanxin Xi, Tong Li*, Huandong Wang, Yong Li, Sasu Tarkoma, and Pan Hui.
  In Proceedings of The ACM Web Conference (WWW), 2022.
• DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction.
  Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin and Yong Li.
  In Proceedings of the 2019 IEEE 38th International Conference on Data Engineering (ICDE), 2022.

2021

• Finding Spatiotemporal Patterns of Mobile Application Usage.
  Tong Li, Yong Li, Tong Xia, Pan Hui.
  IEEE Transactions on Network Science and Engineering, 2021.
• Utility-Aware and Privacy-Preserving Trajectory Synthesis Model With Resisting Social Relationship Privacy Attacks.
  Zhirun Zheng, Zhetao Li, Jie Li, Hongbo Jiang, Tong Li, Bin Guo.
  ACM Transactions on Intelligent Systems and Technology, 2021.
• Edge Intelligence: Empowering Intelligence to the Edge of Network.
  Dianlei Xu, Tong Li, Yong Li, Xiang Su, Sasu Tarkoma, Tao Jiang, Jon Crowcroft, Pan Hui.
  Proceedings of the IEEE, 2021.
• Understanding the Long-term Dynamics of Mobile App Usage Context via Graph Embedding.
  Yali Fan, Zhen Tu, Tong Li, Hancheng Cao, Tong Xia, Yong Li, Xiang Chen, Lin Zhang.
  IEEE Transactions on Knowledge and Data Engineering, 2021.
• Understanding the Long-term Evolution of Mobile App Usage.
  Tong Li, Yali Fan, Yon Li, Sasu Tarkoma, and Pan Hui.
  IEEE Transactions on Mobile Computing, 2021.
• Inferring Origin-Destination Flows fromPopulation Distribution.
  Can Rong, Tong Li, Jie Feng, Hedong Yang, Lu Geng, and Yong Li.
  IEEE Transactions on Knowledge and Data Engineering, 2021.
• The Impact of Covid-19 on Smartphone Usage.
  Tong Li, Mingyang Zhang, Yong Li, Eemil Lagerspetz, Sasu Tarkoma, and Pan Hui.
  IEEE Internet of Things Journal, 2021.
• Passive Health Monitoring using Large Scale Mobility Data.
  Yunke Zhang, Fengli Xu, Tong Li, Vassilis Kostakos, Pan Hui, and Yong Li.
  In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp), 2021.

2020

• To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage.
  Tong Li, Yong Li, Mohammad A. Hoque, Tong Xia, Sasu Tarkoma, and Pan Hui.
  IEEE Transactions on Mobile Computing, 2020.
• Urban Anomaly Analytics: Description, Detection, and Prediction.
  Mingyang Zhang, Tong Li, Yue Yu, Yong Li, Pan Hui, and Yu Zheng.
  IEEE Transactions on Big Data, 2020.
• Lifecycle-Aware Online Video Caching.
  Tong Li, Tristan Braud, Yong Li, and Pan Hui.
  IEEE Transactions on Mobile Computing, 2020.
• Force9: Force-assisted Miniature Keyboard on Smart Wearables.
  Lik-Hang Lee, Ngo-Yan Yeung, Tristan Braud, Tong Li, Xiang Su, and Pan Hui.
  In Proceedings of the ACM International Conference on Multimodal Interaction (ACM ICMI), 2020.
• A Self-adapting Hierarchical Actions and Structures Joint Optimization Framework for Automatic Design of Robotic and Animation Skeletons.
  Zhiyang Xiang, Chuang Xiang, Tong Li, Yibo Guo.
  Soft Computing, 2020.
• Multi-View Joint Graph Representation Learning for Urban Region Embedding.
  Mingyang Zhang, Tong Li, Yong Li, and Pan Hui.
  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2020.
• "What Apps Did You Use?": Understanding the Long-term Evolution of Mobile App Usage.
  Tong Li, Mingyang Zhang, Hancheng Cao, Yong Li, Sasu Tarkoma, and Pan Hui.
  In Proceedings of The Web Conference (WWW), 2020.

2019

• Quadmetric Optimized Thumb-to-Finger Interaction for Force Assisted One-Handed Text Entry on Mobile Headsets.
  Lik Hang LEE, Kit Yung Lam, Tong Li, Tristan Braud, Xiang Su, and Pan Hui.
  In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp), 2019.
• A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data.
  Mingyang Zhang*, Tong Li*, Hongzhi Shi, Yong Li, and Pan Hui.
  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2019.
• Data Collection and Node Counting by Opportunistic Communication.
  Tong Li, Sylvia T. Kouyoumdjieva, Gunnar Karlsson, and Pan Hui.
  In Proceedings of the 2019 IFIP Networking Conference (Networking), 2019.
• Driving Big Data: A First Look at Driving Behavior Via a Large-scale Private Car Dataset.
  Tong Li, Ahmad Alhilal, Anlan Zhang, Mohammad A. Hoque, Zhu Xiao, Dimitris Chatzopoulos, Yong Li, and Pan Hui.
  In Proceedings of the 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), 2019.

2018

• Blockchain-Based Data Sharing System for AI-Powered Network Operations.
  Guozhen Zhang, Tong Li, Yong Li, Pan Hui, and Depeng Jin.
  Journal of Communications and Information Networks, 2018.

More Publications

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Professional Activities

• IEEE Member, ACM Member, CCF Member.
• Program Committee Member: AAAI 2022, IJCAI 2021, COMPSAC 2021, COMPSAC 2020, ECAI 2020.
• Journal Paper Reviewer of IEEE Transactions on Vehicular Technology (IEEE TVT), IEEE Access, The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), IEEE Transactions on Network and Service Management (IEEE TNSM).

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